Recently, the MicroBooNE experiment published a paper describing how they used convolutional neural networks — a particular type of deep neural network — to sort individual pixels coming from images made by a particular type of detector.

From Scientific American, July 5, 2018: This editorial weighs in on the latest result from the MiniBooNE experiment. The author says that, while winning experiments may soon give us clarity, at this time there is no resolution to the sterile neutrino question.

From BBC News, June 6, 2018: The MiniBooNE experiment at Fermilab may have found hints of a new particle. Specifically, the data may hint at a previously undetected form of neutrino, known as a “sterile neutrino.”

The path to extracting deeper science from neutrinos starts with understanding the details of their interactions — the manner in which they scatter from protons and neutrons and the effects of the argon nuclear volume on this scattering.